Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
They are seeking an Engineer - MLOps & Scientific Platforms - Data Foundry to operationalize ... C++, CUDA, or GPU-accelerated computing for optimizing model training/inference performance ...
They are seeking an Engineer - MLOps & Scientific Platforms - Data Foundry to operationalize ... C++, CUDA, or GPU-accelerated computing for optimizing model training/inference performance ...
Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
Lead, Systems Engineering (Detection Algorithm Development) Job Code: 38225 Job Location: Fort ... Comfortable using tools such as NumPy, SciPy, scikit-learn, PyTorch, CV2, CUDA. * Familiar with ...
Developer On-Ramp: Architecting the GTM strategy for our AI Developer Bundles (AppCO/SLES Desktop ... Ability to discuss CUDA cores, Kubernetes orchestration, and Model Context Protocols (MCP) with the ...
Developer On-Ramp: Architecting the GTM strategy for our AI Developer Bundles (AppCO/SLES Desktop ... Ability to discuss CUDA cores, Kubernetes orchestration, and Model Context Protocols (MCP) with the ...
Cuda Engineer information
See Indiana salary details
$34.7K - $43.5K
5% of jobs
$43.5K - $52.2K
5% of jobs
$52.2K - $60.9K
0% of jobs
$60.9K - $69.7K
1% of jobs
$69.7K - $78.4K
5% of jobs
$85K is the 25th percentile. Wages below this are outliers.
$78.4K - $87.2K
11% of jobs
$87.2K - $95.9K
14% of jobs
$95.9K - $104.6K
7% of jobs
The median wage is $105.4K / yr.
$104.6K - $113.4K
13% of jobs
$113.4K - $122.1K
9% of jobs
$123.5K is the 75th percentile. Wages above this are outliers.
$122.1K - $130.8K
30% of jobs
$34.7K
$102.1K
$130.8K
How much do cuda engineer jobs pay per year?
As of Jun 22, 2026, the average yearly pay for cuda engineer in Indiana is $102,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $129,400.00 per year, depending on experience, location, and employer.
What are CUDA Engineers?
CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.
What is the difference between Cuda Engineer vs GPU Developer?
| Aspect | Cuda Engineer | GPU Developer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programming | Bachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL |
| Work Environment | Research labs, tech companies, hardware firms focusing on GPU acceleration | Software development teams, gaming, AI, scientific computing sectors |
| Employer & Industry Usage | Hardware manufacturers, AI companies, high-performance computing firms | Game development, scientific research, machine learning applications |
While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.
What are some common challenges faced by CUDA Engineers when optimizing GPU-accelerated applications?
CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.
What are the key skills and qualifications needed to thrive as a CUDA Engineer, and why are they important?
To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.
What are popular job titles related to Cuda Engineer jobs in Indiana? For Cuda Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Cuda Engineer jobs in Indiana look for? The top searched job categories for Cuda Engineer jobs in Indiana are:
